Reliability in Statistics
Reliability in Statistics is frequently used in research contexts, in everyday use, the word “reliable” means dependable, consistent or unfailing. It is the characteristic of…
Business Statistics
Logistic Distribution
Logistic Distribution is inappropriate for modeling lifetime data because the left-hand limit of the distribution extends to negative infinity. It provided that the distribution in…
Large Deviations Theory
Large Deviations Theory applications use in many different scientific fields, ranging from queuing theory to statistics and from finance to engineering. It is also increasingly…
Extreme Value Theory
Extreme Value Theory is useful in modelling the impact of crashes or situations of extreme stress on investor portfolios. It seeks to assess, from a…
Structural Equation Modeling
Structural Equation Modeling (SEM) is a largely confirmatory, rather than exploratory, technique. It refers to a diverse set of mathematical models, computer algorithms, and statistical…
Path Analysis
This article describe about Path Analysis, which is developed as a method of decomposing correlations into different pieces for interpretation of effects. It is closely…
Mixture Model
Mixture Model is a type of probabilistic model which are capable of detecting similar groups of data. It is the process of grouping similar data…
Mixture Distribution
This article talks about Mixture Distribution, which is arise in many contexts in the literature and arise naturally where a statistical population contains two or…
Graphical Model
This article focus on Graphical Model, which provide a general methodology for approaching bioinformatics, information retrieval, speech processing, image processing and communications problems. It is agnostic…
Factor Graph
Factor Graph is a type of probabilistic graphical model. It also used to represent factorization of a probability distribution function, enabling efficient computations, such as…
Chow Liu Tree
Chow Liu Tree is capture both dependencies across time and dependencies across variables. Chow Liu Tree structures in the context of providing improved, yet tractable, models…
Bayesian Inference
Bayesian Inference is the process of updating probabilities of outcomes based upon the relationships in the model and the evidence known about the situation at…
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